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Machine-Learning-based Network Intrusion Detection System (NIDS) meant to be used with NetFlow traffic. Given an input flow, this will return the threat type alongside the confidence of the prediction. It is capable of detecting 4 main network traffic classes: Benign, Brute Force, DDoS, and...
Model Package - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Gambles Online. Lift over Random 1.57. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media Behaviors...
Model Package - Fulfilled on Amazon SageMaker
The solution harnesses historical customer data for segmentation, incorporating customer IDs and various features such as purchase frequency, credit limits, and the number of purchases. It formulates the clustering problem as an optimization problem and solves it using the D-Wave's hybrid solver....
Algorithm - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer shops at a specific retailer. Based on a set of basic demographics, the model identifies individuals who are likely to shop at that retailer. The model was trained with data from Prosper's large...
Model Package - Fulfilled on Amazon SageMaker
This solution will evaluate between several deep learning models of various architectures on the user provided data. It will identify the best performing deep learning model architecture on the basis of validation metric for text classification. This will reduce the time and effort for the model...
Algorithm - Fulfilled on Amazon SageMaker
Target customers with applicable promotions and treatment optimizations with this need-state segmentation model. Need State Segmentation model analyzes thousands of customer attributes and behaviors, from demographics to spend and trip patterns. Grouped and applied to the entire customer base,...
Model Package - Fulfilled on Amazon SageMaker
This solution helps us in automatically creating alterations in the existing image data to create a more comprehensive set of possible data points. The module provides a solution to the limited data problem for training deep neural networks. It makes the data rich and thus helps the model perform...
Model Package - Fulfilled on Amazon SageMaker
This Pandemic Propensity Model determines the probability that a US adult is Comfortable Going to the Gym. Lift over Random 1.27 This Pandemic Propensity model is one of a series of consumer classification models based on data from over 31,000 US adults surveyed between April to July 2020 from...
Model Package - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/faster_rcnn/resnet152_v1_1024x1024/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the...
Model Package - Fulfilled on Amazon SageMaker
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